Volume Shaded CandlesDescription:
The Volume Shaded Candles indicator (VSC) is a technical analysis tool designed to represent price candles on a chart with transparency based on the volume traded during each candle. This overlay indicator enhances visual analysis by providing a visual representation of volume intensity.
How it Works:
The VSC indicator calculates the volume-to-transparency ratio by dividing the current volume by the highest volume within the last 10 periods. The ratio is then used to determine the shading intensity of the price candles. Higher volume relative to the recent highest volume results in lower transparency, while lower volume results in higher transparency.
Usage:
To effectively utilize the Volume Shaded Candles indicator, follow these steps:
1. Apply the Volume Shaded Candles indicator to your chart by adding it from the available indicators.
2. Configure the indicator's inputs:
- Specify the color for bullish candles using the "Bullish Color" input.
- Specify the color for bearish candles using the "Bearish Color" input.
3. Observe the shaded candles on the chart:
- Bullish candles are colored with the specified bullish color and shaded according to the volume intensity.
- Bearish candles are colored with the specified bearish color and shaded according to the volume intensity.
4. Interpret the shaded candles:
- Darker shading indicates higher volume during the corresponding candle.
- Lighter shading indicates lower volume during the corresponding candle.
5. Combine the analysis of shaded candles with other technical analysis tools, such as trend lines, support and resistance levels, or candlestick patterns, to identify potential trade setups.
6. Implement appropriate risk management strategies, including setting stop-loss orders and position sizing, to manage your trades effectively and protect your capital.
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Volume Trend Meter LTFA new take to an already popular indicator of mine, now with lower time frame support for a volume called Volume Trend Meter LTF (VTML).
The VTM LTF indicator measures the volume pressure at a specific part of the candle (Start, Middle, or the end of the candle) and displays it as a histogram.
This indicator sums up all green candle volumes and red candle volumes over the selected part of the candle (Select in settings - start end or middle) and plots their values by subtracting increasing volume and decreasing volume.
Use this indicator to identify increasing volume with the green candles (close bigger than open) and increasing volume of the red candles (close is smaller than open).
Can also work on daily charts and higher.
======= Calculation ==========
For Green Column: The total Volume of green candles is higher than the total red candle volume.
For Red Column: The total Volume of red candles is higher than the total green candle volume.
======= Volume Trend Meter LTF Colors =======
Green: Increasing buying pressure.
Red: Increasing selling pressure.
My original VTM (not the lower time frame version):
Like if you like and Follow me for upcoming indicators/strategies: www.tradingview.com
Volume towers by GSK-VIZAG-AP-INDIAVolume Towers by GSK-VIZAG-AP-INDIA
Overview :
This Pine Script visualizes volume activity and provides insights into market sentiment through the display of buying and selling volume, alongside moving averages. It highlights high and low volume candles, enabling traders to make informed decisions based on volume anomalies. The script is designed to identify key volume conditions, such as below-average volume, high-volume candles, and their relationship to price movement.
Script Details:
The script calculates a Simple Moving Average (SMA) of the volume over a user-defined period and categorizes volume into several states:
Below Average Volume: Volume is below the moving average.
High Volume: Volume exceeds the moving average by a multiplier (configurable by the user).
Low Volume: Volume that doesn’t qualify as either high or below average.
Additionally, the script distinguishes between buying volume (when the close is higher than the open) and selling volume (when the close is lower than the open). This categorization is color-coded for better visualization:
Green: Below average buying volume.
Red: Below average selling volume.
Blue: High-volume buying.
Purple: High-volume selling.
Black: Low volume.
The Volume Moving Average (SMA) is plotted as a reference line, helping users identify trends in volume over time.
Features & Customization:
Customizable Inputs:
Volume MA Length: The period for calculating the volume moving average (default is 20).
High Volume Multiplier: A multiplier for defining high volume conditions (default is 2.0).
Color-Coded Volume Histograms:
Different colors are used for buying and selling volume, as well as high and low-volume candles, for quick visual analysis.
Alerts:
Alerts can be set for the following conditions:
Below-average buying volume.
Below-average selling volume.
High-volume conditions.
How It Works:
Volume Moving Average (SMA) is calculated using the user-defined period (length), and it acts as the baseline for categorizing volume.
Volume Conditions:
Below Average Volume: Identifies candles with volume below the SMA.
High Volume: Identifies candles where volume exceeds the SMA by the set multiplier (highVolumeMultiplier).
Low Volume: When volume is neither high nor below average.
Buying and Selling Volume:
The script identifies buying and selling volume based on the closing price relative to the opening price:
Buying Volume: When the close is greater than the open.
Selling Volume: When the close is less than the open.
Volume histograms are then plotted using the respective colors for quick visualization of volume trends.
User Interface & Settings:
Inputs:
Volume MA Length: Adjust the period for the volume moving average.
High Volume Multiplier: Define the multiplier for high volume conditions.
Plots:
Buying Volume: Green bars indicate buying volume.
Selling Volume: Red bars indicate selling volume.
High Volume: Blue or purple bars for high-volume candles.
Low Volume: Black bars for low-volume candles.
Volume Moving Average Line: Displays the moving average line for reference.
Source Code / Authorship:
Author: prowelltraders
Disclaimer:
This script is intended for educational purposes only. While it visualizes important volume data, users are encouraged to perform their own research and testing before applying this script for trading decisions. No guarantees are made regarding the effectiveness of this script for real-world trading.
Contact & Support:
For questions, support, or feedback, please reach out to the author directly through TradingView (prowelltraders).
Signature:
GSK-VIZAG-AP-INDIA
Volume Delta with PVSRAVolume Delta with PVSRA
Volume Delta with PVSRA is an advanced volume indicator that dissects each bar’s volume into its directional components using higher resolution data. It visually distinguishes between buying and selling volume, so that for a bullish candle the bottom portion represents buying volume and for a bearish candle it represents selling volume. A dot is plotted at the 50% mark of the candle’s total volume, serving as a clear reference point.
Key Features:
Directional Volume Breakdown:
The indicator calculates the delta volume by analyzing lower timeframe data. The bottom portion of a bullish candle (displayed in green) represents buying volume, while that of a bearish candle (displayed in red) represents selling volume.
PVSRA Analysis:
Using Price-Volume Spread Range Analysis, the indicator compares the current volume to the 10-bar average. When volume is significantly higher (using thresholds of 150% and 200%), the candle borders are highlighted in custom colors, indicating medium or strong volume conditions.
Volume Moving Averages:
Three moving averages are plotted:
Total Volume MA (yellow): Tracks overall volume.
Buying Volume MA (green) and Selling Volume MA (red): These are re-centered around the total volume MA. A crossover of the green over the red typically signals rising buying pressure, while the opposite indicates increasing selling pressure.
Scalable Volume Bars:
The indicator scales the volume bars to provide optimal visualization on your chart.
Setup Instructions:
For best results, open your chart settings, navigate to the Canvas tab, and set the bottom margin to 0%. This ensures the indicator displays like a standard volume indicator without any unwanted gaps at the bottom.
Customize the various settings—including colors, border opacity, and moving average parameters—to suit your trading style.
Volume Distribution (Heat Map)This Pine Script indicator, "Volume Distribution (Heat Map)" is designed to visualize the distribution of volume across different price levels over a specified lookback period. Here's a detailed breakdown of its functionality and features:
Indicator Overview
User Inputs
Length: The lookback period for analysis, defaulting to 500 bars.
Source: The price source used for calculations (default is the close price).
Color Intensity: Adjusts the intensity of the heatmap colors, with a default value of 25.
Lines Width: The width of the plotted lines, with a default value of 10.
Main Color: The main color used for the heatmap (default is lime).
Logic
The script iterates through the number of bins, calculates the volume for each bin between highest and lowest prices for length period, and updates the corresponding bin in the freq array if the current bar is allowed.
If the current bar is the last bar, the script plots lines and labels based on the volume distribution.
Heatmap Lines:
Solid lines colored based on the volume in each bin, using a gradient from no color to the main color based on amount of volume.
Highest Volume Line:
A dashed red line indicating the bin with the highest volume.
Labels:
Labels for the highest and lowest prices and the volume at the highest volume bin.
Plots
Highest Price Plot: Plots the highest price within the lookback period if the current bar is within the allowed range.
Lowest Price Plot: Plots the lowest price within the lookback period if the current bar is within the allowed range.
Summary
This indicator provides a visual representation of where trading volume is concentrated across different price levels, forming a heatmap. The highest volume level is highlighted with a dashed red line and a label indicating the volume at that level. This can help traders identify significant price levels where trading activity is clustered.
The "Volume Distribution (Heat Map)" indicator is a valuable tool for traders looking to enhance their technical analysis by incorporating volume data into their price charts. It provides a clear and visual representation of where market participants are most active, aiding in better-informed trading decisions.
Volume Delta [hapharmonic]Volume Delta: Volume Delta is an indicator that simplifies how you analyze trading volumes and the percentage of buy-sell activities effortlessly.
As a trader or market analyst, understanding underlying volume and trade flows is critical. The Volume Delta indicator provides thorough insight into both the total volume and the percentage of buying versus selling within the current candlestick. This information is pivotal for those looking to gauge market momentum and sentiment more effectively.
Additionally, the Volume Delta indicator can plot the candlestick colors based on the percentage of the dominant buying or selling volume. The area between the open and close prices of the candlestick is considered 100% and fills with colors corresponding to the predominant volume at that percentage.
Volume Delta also integrates the concept of Net volume. This component is crucial as it reveals the real market sentiment by calculating the difference between the volume of trades executed at an uptick and those at a downtick.
🟠 Overview
This indicator now displays in two layouts. Recently, Tradingview introduced the "force_overlay=true" function in Pine Script , allowing plots to be moved to the main chart. Thus, all displays are from the same indicator.
🟠 USAGE
From the data displayed in 'plot.style_columns' , the peak area represents the entire volume, accounting for 100%. Within this area, there are two color levels indicating volume. If one type of volume, whether buying or selling, exceeds the other, the larger volume will be positioned behind and the smaller in front. This arrangement prevents the scenario where a higher buying volume obscures the smaller selling volume. Therefore, the two colors can be switched between the front and the back as needed.
As you can see, the 12 and 26-day Exponential Moving Averages (EMAs) are used, with the Volume Confirmation Length set at 6. Therefore, the crossing of the EMAs proceeds normally, but it is highlighted with three triangular arrows to indicate a high likelihood of a valid crossover. However, if the volume is insufficient, these markers won't be displayed, although the EMA crossover will still occur as usual. This can be useful for using volume to verify the significance of the EMA crossover.
🟠 Setting
If you enable the label, please be aware that the chart size will shrink, causing the candlestick display to become unclear. Therefore, you might need to select "Logarithmic" at the bottom right of your screen, or for mobile applications, press and hold on the price scale and choose "Logarithmic" to adjust the scale appropriately.
Enjoy!
Volume Spike Analysis [Trendoscope]The Volume Spike Analysis is designed to detect volume spikes in a trading instrument's data. Rather than relying on the traditional method of comparing volume to its moving average, this indicator employs a distinctive approach to ensure accuracy.
Methodology
Historical Volume Comparison: The indicator first assesses the current bar's volume, say 100k, and looks back historically to determine the last instance when the volume was equal to or exceeded this level.
High Volume Bar Gap Calculation: The intervals or gaps between high volume bars are recorded. These gaps help in determining how common or rare a particular volume spike is.
Spike Magnitude Determination: Here, the extent of the volume spike is gauged in relation to either the median, lowest, or average volume of the intervening bars. The reference metric (median, lowest, or average) can be chosen by the user through the "Volume Spike Reference" input parameter.
Spike Percentile Analysis: The calculated spike magnitude (as a percentage of the reference volume) is cataloged. This collection aids in understanding the relative intensity of the current volume spike when compared to previous spikes.
Threshold Comparisons: The indicator then compares the calculated "High Volume Distance Percentile" to the "Last High Volume Distance Percentile" and the "Volume Spike Percentile" to the "Volume Spike Threshold". If these values surpass the preset thresholds, the current bar is flagged as a high volume or volume spike bar.
Visual Components
Bar Highlighting : High volume or volume spike bars are accentuated with bright colors for easy identification. All other bars have increased transparency to reduce visual clutter.
Distance from the High Volume Bar: Indication of the number of bars since the last high volume occurrence and its respective percentile.
Comparative Factors: A factor representing the magnitude by which the current volume surpasses the lowest, median, and average volumes.
Lowest, Median and Average Volumes: The lowest and median volumes are indicated by tooltips on lines marking the respective bars. The average volume is depicted as a dotted horizontal line, with a triangle marker tooltip revealing its value.
This indicator offers a nuanced analysis of volume spikes, aiding traders in making more informed decisions.
Volume Zones Multi-Timeframe OverlayAt its core, this indicator is a variation of my other indicator, Welkin Advanced Volume Overlay (for VSA )
This version is based on the power of multi-timeframe analysis. The basic functionality is simple: Plot lines from the high and low of candles formed during periods of high volume and fill the space between them. The volume levels for deciding what counts as "high volume" are based on standard deviations of the volume's SMA , and the higher the volume , the brighter the zone. i.e., a volume zone set by a volume level that is 4 standard deviations higher than average will be more "filled in" and less transparent than a volume zone from a 2 standard deviation candle.
These zones tend to act as areas of congestion, and the "ceilings" and "floors" of the zones as support and resistance . Overlapping zones tend to indicate strength and are likely to require more effort to get through. The more timeframes that agree with each other, the stronger the zone, ceiling, or floor.
By default, these zones are drawn based on the chart's timeframe and 1 timeframe higher, automatically set based on some "standard" values:
1m -> 5m
5m -> 15m
10m -> 30m
15m -> 60m
30m -> 60m
60m -> 1d
1d -> 1w
Finally, both the base timeframe and the higher timeframe are customizable; this is intended to make it easy to "double" up copies of the indicator to fit even more timeframes on the chart, creating a sort of heatmap for volume price analysis.
An example of three copies of the indicator, showing volume zones from 6 different timeframes.
Volume Profile Array's [fikira]Inspired by © IldarAkhmetgaleev (AkhIL) - "Poor man's volume profile" - "PMVolProf"
He did a fantastic job on "Volume Profile"!
My script is about making this with array's
Settings:
- period (last x bars) for calculation
- max width (visible horizontal range)
- amount of sections (vertical sections; to many sections can give an error -> lower the sections in that case)
Setting "high/low", "close":
- "high/low"
-> the volume of every bar (in the period) which low is lower than a particular section and which high is higher than that section is added to that section
- "close"
-> here the volume of every bar (in the period) which close closes in the range of a particular section is added to that section
The orange/blue coloured "Volume lines" are the highest/lowest values above and below present close
(can be used as Support/resistance )
"Only show max/min" shows only the orange/blue Volume lines
The period and highest/lowest is show by 2 thin blue lines
Color, line width is adjustable
Cheers!
Volume Rotor Clock [hapharmonic]🕰️ Volume Rotor Clock
The Volume Rotor Clock is an indicator that separates buy and sell volume, compiling these volumes over a recent number of bars or a specified past period, as defined by the user. This helps to reveal accumulation (buying) or distribution (selling) behavior, showing which side has superior volume. With its unique and beautiful display, the Volume Rotor Clock is more than just a timepiece; it's a dynamic dashboard that visualizes the buying and selling pressure of your favorite symbols, all wrapped in an elegant and fully customizable interface.
Instead of just tracking price, this indicator focuses on the engine behind the movement: volume. It helps you instantly identify which assets are under accumulation (buying) and which are under distribution (selling).
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🎨 20 Pre-configured Templates
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🧐 Interpreting the Clock Display
The interface is designed to give you multiple layers of information at a glance. Let's break down what each part represents.
1. The Main Clock Hands (Current Chart Symbol)
The clock hands—hour, minute, and second—are dedicated to the symbol on your current active chart .
Minute Hand: Displays the base currency of the current symbol (e.g., USDT, USD) at its tip.
Hour Hand: Displays the percentage of the winning volume side (buy vs. sell) at its tip.
Color Gauge: The color of the text characters at the tip of both the hour and minute hands acts as your primary volume gauge for the current symbol.
If buy volume is dominant , the text will be green .
If sell volume is dominant , the text will be red .
Tooltip: Hovering your mouse over the text at the tip of the hour or minute or other spherical elements hand will reveal a detailed tooltip with the precise Buy Volume, Sell Volume, Total Volume, Buy %, and Sell % for the current chart's symbol.
2. The Volume Scanner: Bulls & Bears (Symbols Inside the Clock) 🐂🐻
The circular symbols scattered inside the clock face are your multi-symbol volume scanner. They represent the assets you've selected in the indicator's settings.
Green Circles (Bulls - Upper Half): These represent symbols from your list where the total buy volume is greater than the total sell volume over the defined "Lookback" period. They are considered to be under bullish accumulation. The size of the circle and its text grows larger as the buy percentage becomes more dominant. The percentage shown within the circle represents the buy volume's share of the total volume, calculated over the 'Lookback (Bars)' you've set.
Red Circles (Bears - Lower Half): These represent symbols where the total sell volume is greater than the total buy volume. They are considered to be under bearish distribution or selling pressure. The size of the circle indicates the dominance of the sell-side volume. The percentage shown within the circle represents the sell volume's share of the total volume, calculated over the 'Lookback (Bars)' you've set.
3. The Bullish Watchlist (Symbols Above the Clock) ⭐
The symbols arranged neatly along the top edge of the clock are the "best of the bulls." They are symbols that are not only bullish but have also passed an additional, powerful strength filter.
What it Means: A symbol appears here when it shows signs of sustained, high-volume buying interest . It's a way to filter out noise and focus on assets with potentially significant accumulation phases.
The Filter Logic: For a bullish symbol (where total buy volume > total sell volume) to be promoted to the watchlist, its trading volume must meet specific criteria based on this formula:
ta.barssince(not(volume > ta.sma(volume, X))) >= Y
In plain English, this means: The indicator checks how many consecutive bars the `volume` has been greater than its `X`-bar Simple Moving Average (`ta.sma(volume, X)`). If this count is greater than or equal to `Y` bars, the condition is met.
(You can configure `X` (Volume MA Length) and `Y` (Consecutive Days Above MA) in the settings.)
Why it's Useful: This filter is powerful because it looks for consistency . A single spike in volume can be an anomaly. However, when an asset's volume remains consistently above its recent average for several consecutive days, it strongly suggests that larger players or a significant portion of the market are actively accumulating the asset. This sustained interest can often precede a significant upward price trend.
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⚙️ Indicator Settings Explained
The Volume Rotor Clock is highly customizable. Here’s a detailed walkthrough of every setting available in the "Inputs" tab.
🎨 Color Scheme
This group allows you to control the entire aesthetic of the clock.
Template: Choose from a wide variety of professionally designed color themes.
Use Template: A simple checkbox to switch between using a pre-designed theme and creating your own.
`Checked`: You can select a theme from the dropdown menu, which offers 20 unique templates like "Cyberpunk Neon" or "Forest Green". All custom color settings below will be disabled (grayed out and unclickable).
`Unchecked`: The template dropdown is disabled, and you gain full control over every color element in the sections below.
🖌️ Custom Appearance & Colors
These settings are only active when "Use Template" is unchecked.
Flame Head / Tail: Sets the start and end colors for the dynamic flame effect that traces the clock's border, representing the second hand.
Numbers / Main Numbers: Customize the color of the regular hour numbers (1, 2, 4, 5...) and the main cardinal numbers (3, 6, 9, 12).
Sunburst Colors (1-6): Controls the six colors used in the gradient background for the "sunburst" effect inside the clock face.
Hands & Digital: Fine-tune the colors for the Hour/Minute Hand, Second Hand, central Pivot point, and the digital time display.
Chain Color / Width: Customize the appearance of the two chains holding the clock.
📡 Volume Scanner
Control the behavior of the multi-symbol scanner.
Show Scanner Labels: A master switch to show or hide all the bull/bear symbol circles inside the clock.
Lookback (Bars): A crucial setting that defines the calculation period for buy/sell volume for all scanned symbols. The calculation is a sum over the specified number of recent bars.
`0`: Calculates using the current bar only .
`7`: Calculates the sum of volume over the last 8 bars (the current bar + 7 historical bars).
Symbols List: Here you can enable/disable up to 20 slots and input the ticker for each symbol you want to scan (e.g., BINANCE:BTCUSDT , NASDAQ:AAPL ).
⭐ Bullish Watchlist Filter
Configure the criteria for the elite watchlist symbols displayed above the clock.
Enable Watchlist: A master switch to turn the entire watchlist feature on or off.
Volume MA Length: Sets the lookback period `(X)` for the Simple Moving Average of volume used in the filter.
Consecutive Days Above MA: Sets the minimum number of consecutive days `(Y)` that volume must close above its MA to qualify.
Symbols Per Row: Determines the maximum number of watchlist symbols that can fit in a single row before a new row is created above it.
Background / Text Color: When not using a template, you can set custom colors for the watchlist symbols' background and text.
📏 Position & Size
Adjust the clock's placement and dimensions on your chart.
Clock Timezone: Sets the timezone for the digital and analog time display. You can use standard formats like "America/New_York" or enter "Exchange" to sync with the chart's timezone.
Radius (Bars): Controls the overall size of the clock. The radius is measured in terms of the number of bars on the x-axis.
X Offset (Bars): Moves the entire clock horizontally. Positive values shift it to the right; negative values shift it to the left.
Y Offset (Price %): Moves the entire clock vertically as a percentage of your screen's price pane. Positive values move it up; negative values move it down.
Volume Predictor [PhenLabs]📊 Volume Predictor
Version: PineScript™ v6
📌 Description
The Volume Predictor is an advanced technical indicator that leverages machine learning and statistical modeling techniques to forecast future trading volume. This innovative tool analyzes historical volume patterns to predict volume levels for upcoming bars, providing traders with valuable insights into potential market activity. By combining multiple prediction algorithms with pattern recognition techniques, the indicator delivers forward-looking volume projections that can enhance trading strategies and market analysis.
🚀 Points of Innovation:
Machine learning pattern recognition using Lorentzian distance metrics
Multi-algorithm prediction framework with algorithm selection
Ensemble learning approach combining multiple prediction methods
Real-time accuracy metrics with visual performance dashboard
Dynamic volume normalization for consistent scale representation
Forward-looking visualization with configurable prediction horizon
🔧 Core Components
Pattern Recognition Engine : Identifies similar historical volume patterns using Lorentzian distance metrics
Multi-Algorithm Framework : Offers five distinct prediction methods with configurable parameters
Volume Normalization : Converts raw volume to percentage scale for consistent analysis
Accuracy Tracking : Continuously evaluates prediction performance against actual outcomes
Advanced Visualization : Displays actual vs. predicted volume with configurable future bar projections
Interactive Dashboard : Shows real-time performance metrics and prediction accuracy
🔥 Key Features
The indicator provides comprehensive volume analysis through:
Multiple Prediction Methods : Choose from Lorentzian, KNN Pattern, Ensemble, EMA, or Linear Regression algorithms
Pattern Matching : Identifies similar historical volume patterns to project future volume
Adaptive Predictions : Generates volume forecasts for multiple bars into the future
Performance Tracking : Calculates and displays real-time prediction accuracy metrics
Normalized Scale : Presents volume as a percentage of historical maximums for consistent analysis
Customizable Visualization : Configure how predictions and actual volumes are displayed
Interactive Dashboard : View algorithm performance metrics in a customizable information panel
🎨 Visualization
Actual Volume Columns : Color-coded green/red bars showing current normalized volume
Prediction Columns : Semi-transparent blue columns representing predicted volume levels
Future Bar Projections : Forward-looking volume predictions with configurable transparency
Prediction Dots : Optional white dots highlighting future prediction points
Reference Lines : Visual guides showing the normalized volume scale
Performance Dashboard : Customizable panel displaying prediction method and accuracy metrics
📖 Usage Guidelines
History Lookback Period
Default: 20
Range: 5-100
This setting determines how many historical bars are analyzed for pattern matching. A longer period provides more historical data for pattern recognition but may reduce responsiveness to recent changes. A shorter period emphasizes recent market behavior but might miss longer-term patterns.
🧠 Prediction Method
Algorithm
Default: Lorentzian
Options: Lorentzian, KNN Pattern, Ensemble, EMA, Linear Regression
Selects the algorithm used for volume prediction:
Lorentzian: Uses Lorentzian distance metrics for pattern recognition, offering excellent noise resistance
KNN Pattern: Traditional K-Nearest Neighbors approach for historical pattern matching
Ensemble: Combines multiple methods with weighted averaging for robust predictions
EMA: Simple exponential moving average projection for trend-following predictions
Linear Regression: Projects future values based on linear trend analysis
Pattern Length
Default: 5
Range: 3-10
Defines the number of bars in each pattern for machine learning methods. Shorter patterns increase sensitivity to recent changes, while longer patterns may identify more complex structures but require more historical data.
Neighbors Count
Default: 3
Range: 1-5
Sets the K value (number of nearest neighbors) used in KNN and Lorentzian methods. Higher values produce smoother predictions by averaging more historical patterns, while lower values may capture more specific patterns but could be more susceptible to noise.
Prediction Horizon
Default: 5
Range: 1-10
Determines how many future bars to predict. Longer horizons provide more forward-looking information but typically decrease accuracy as the prediction window extends.
📊 Display Settings
Display Mode
Default: Overlay
Options: Overlay, Prediction Only
Controls how volume information is displayed:
Overlay: Shows both actual volume and predictions on the same chart
Prediction Only: Displays only the predictions without actual volume
Show Prediction Dots
Default: false
When enabled, adds white dots to future predictions for improved visibility and clarity.
Future Bar Transparency (%)
Default: 70
Range: 0-90
Controls the transparency of future prediction bars. Higher values make future bars more transparent, while lower values make them more visible.
📱 Dashboard Settings
Show Dashboard
Default: true
Toggles display of the prediction accuracy dashboard. When enabled, shows real-time accuracy metrics.
Dashboard Location
Default: Bottom Right
Options: Top Left, Top Right, Bottom Left, Bottom Right
Determines where the dashboard appears on the chart.
Dashboard Text Size
Default: Normal
Options: Small, Normal, Large
Controls the size of text in the dashboard for various display sizes.
Dashboard Style
Default: Solid
Options: Solid, Transparent
Sets the visual style of the dashboard background.
Understanding Accuracy Metrics
The dashboard provides key performance metrics to evaluate prediction quality:
Average Error
Shows the average difference between predicted and actual values
Positive values indicate the prediction tends to be higher than actual volume
Negative values indicate the prediction tends to be lower than actual volume
Values closer to zero indicate better prediction accuracy
Accuracy Percentage
A measure of how close predictions are to actual outcomes
Higher percentages (>70%) indicate excellent prediction quality
Moderate percentages (50-70%) indicate acceptable predictions
Lower percentages (<50%) suggest weaker prediction reliability
The accuracy metrics are color-coded for quick assessment:
Green: Strong prediction performance
Orange: Moderate prediction performance
Red: Weaker prediction performance
✅ Best Use Cases
Anticipate upcoming volume spikes or drops
Identify potential volume divergences from price action
Plan entries and exits around expected volume changes
Filter trading signals based on predicted volume support
Optimize position sizing by forecasting market participation
Prepare for potential volatility changes signaled by volume predictions
Enhance technical pattern analysis with volume projection context
⚠️ Limitations
Volume predictions become less accurate over longer time horizons
Performance varies based on market conditions and asset characteristics
Works best on liquid assets with consistent volume patterns
Requires sufficient historical data for pattern recognition
Sudden market events can disrupt prediction accuracy
Volume spikes may be muted in predictions due to normalization
💡 What Makes This Unique
Machine Learning Approach : Applies Lorentzian distance metrics for robust pattern matching
Algorithm Selection : Offers multiple prediction methods to suit different market conditions
Real-time Accuracy Tracking : Provides continuous feedback on prediction performance
Forward Projection : Visualizes multiple future bars with configurable display options
Normalized Scale : Presents volume as a percentage of maximum volume for consistent analysis
Interactive Dashboard : Displays key metrics with customizable appearance and placement
🔬 How It Works
The Volume Predictor processes market data through five main steps:
1. Volume Normalization:
Converts raw volume to percentage of maximum volume in lookback period
Creates consistent scale representation across different timeframes and assets
Stores historical normalized volumes for pattern analysis
2. Pattern Detection:
Identifies similar volume patterns in historical data
Uses Lorentzian distance metrics for robust similarity measurement
Determines strength of pattern match for prediction weighting
3. Algorithm Processing:
Applies selected prediction algorithm to historical patterns
For KNN/Lorentzian: Finds K nearest neighbors and calculates weighted prediction
For Ensemble: Combines multiple methods with optimized weighting
For EMA/Linear Regression: Projects trends based on statistical models
4. Accuracy Calculation:
Compares previous predictions to actual outcomes
Calculates average error and prediction accuracy
Updates performance metrics in real-time
5. Visualization:
Displays normalized actual volume with color-coding
Shows current and future volume predictions
Presents performance metrics through interactive dashboard
💡 Note:
The Volume Predictor performs optimally on liquid assets with established volume patterns. It’s most effective when used in conjunction with price action analysis and other technical indicators. The multi-algorithm approach allows adaptation to different market conditions by switching prediction methods. Pay special attention to the accuracy metrics when evaluating prediction reliability, as sudden market changes can temporarily reduce prediction quality. The normalized percentage scale makes the indicator consistent across different assets and timeframes, providing a standardized approach to volume analysis.
Volume to Shares Outstanding Ratio IndicatorDescription:
This indicator shows the ratio of trading volume to the total number of shares outstanding.
Formula:
Volume to Shares Outstanding Ratio = (Trading Volume / Shares Outstanding) * 100
説明:
このインジケーターは、出来高を発行済株式数で割った比率を表示します。
式:
出来高の割合 = (出来高 / 発行済株式数) × 100
Volume Flow ImbalanceVolume Flow Imbalance (VFI) Indicator
The Volume Flow Imbalance (VFI) indicator is designed to provide traders with insights into the market's buying and selling pressure by calculating the imbalance between buy and sell volumes over a user-defined lookback period. This indicator is particularly useful for identifying potential pivot points and market sentiment shifts.
How to Use :
Setup Parameters :
Lookback Period: Set the number of bars over which the imbalance is calculated. Increasing this number provides a broader view of market trends.
Lower Timeframe Data: Optionally enable this feature to analyze volume data from lower timeframes, offering a more granified view of volume flows.
Interpreting the Indicator :
The VFI outputs a value that represents the net imbalance between buying and selling volumes. Positive values indicate a predominance of buying volume, suggesting bullish conditions, while negative values suggest bearish conditions with more selling volume.
The indicator also provides dynamic threshold lines based on the standard deviation of the calculated imbalances, helping to visually identify extreme conditions where reversals might occur.
Application :
Apply the VFI to any chart to assess the balance of trade volumes in real-time.
Use the indicator in conjunction with other technical analysis tools to confirm trends or potential reversals.
Tips :
Adjust the lookback period based on the volatility and trading volume of the asset to optimize performance.
The VFI is best used in liquid markets where volume data is a reliable indicator of market activity.
By providing a clear measure of how much buying and selling is occurring relative to the past, the VFI helps traders make informed decisions based on underlying market dynamics.
Highest Volume Bar from a Lower TimeframeVolume is an essential indicator in technical analysis as it can signal confirmations of movement, reversals, and more. This indicator was developed to identify candles with high volume in both the current timeframe and a lower timeframe
SETTINGS
The indicator has two display modes: Candles and Volume.
- Candles: it presents a traditional candlestick chart that shows the candles of the current timeframe, along with the candle with the highest volume from the lower timeframe.
- Volume: it features a volume chart displaying the volume of the current timeframe in histogram form, as well as the bar with the highest volume from the lower timeframe represented in columns.
LOWER TIME FRAME SETTINGS
- Lower Time Frame: the lower timeframe to be taken into consideration.
- LTF Candle Display: determines which candles from the current timeframe chart will display the candles with the highest volume from the lower timeframe.
- Volume Display: determines how the volume bars will be presented for both the current timeframe and the lower timeframe.
VOLUME LEVEL SETTINGS
- SMA Period: the time period for calculating the volume average.
- High Volume: the multiplier used to classify a candle as having high volume.
- Medium Volume: the multiplier used to classify a candle as having medium volume.
- Low Volume: the multiplier used to classify a candle as having low volume.
- Show Volume MA: enable this option to display the Volume MA on the chart.
COLOR SETTINGS
- Candle Color: the color to be used in the charts.
- Shade Intensity : the intensity of the shades for volume levels.
- Transparency : the transparency to be used for the candles of the current timeframe when displaying candles with higher volume from the lower timeframe.
Volume Profile PlusThis indicator provides a high-resolution and high-precision implementation of Volume Profile with flexible range settings. Its key features include:
1. Support for a high resolution of up to 2,500 rows.
2. Capability to examine lower timeframe bars (default 5,000 intra-bars) for enhanced precision.
3. Three range modes — "Visible Range", "Anchored Range", and "All Range".
4. Highlighting of Point of Control and Value Area.
5. Extensive customization options allowing users to configure dimensions, on-chart placements, and color schemes.
🔵 Settings
The settings screen, along with the explanations for each setting, is provided below:
🔵 High Resolution using Polyline
Inspired by @fikira, this indicator utilizes the newly introduced `polyline` type in PineScript to plot the volume profile. It employs a single polyline instance to represent the entire histogram. With each polyline instance supporting up to 10,000 points and each histogram row requiring 4 points, this indicator can accommodate 2500 rows, resulting in a significantly higher resolution compared to conventional volume profile indicators that use `line`s or `box`es to draw the histogram.
🔵 High Precision Data-binning using Lower Timeframe Data
Conventional volume profile indicators often face one or both of the following limitations:
1. They only consider volume within the chart's current timeframe.
2. They assign each bar's total volume to a single price bucket based on the bar's average price, rather than distributing volume across multiple price buckets.
As a result, when the number of bars in the chart is low, those indicators may provide imprecise results, making it difficult to accurately identify significant volume nodes and the point of control.
To address these limitations and enhance accuracy, this indicator examines data from lower timeframes and distributes the volume to fine-grained price buckets. It intelligently selects an appropriate lower timeframe to ensure precise output while complying with a maximum specified number of bars to maintain good performance.
🔵 Three Range Modes
This indicator offers users the flexibility to choose from three range modes:
1. Visible Range (Default Mode): In this mode, the volume profile calculation begins at the time of the left-most bar displayed in the current viewport. As the user scrolls through the viewport, the volume profile updates automatically.
2. Anchored Range: This mode allows the user to set the start time either by using the datetime input boxes or by dragging the anchor line on the chart.
3. All Range: In this mode, the volume profile calculation is based on all the historical bars available in the chart.
Volume Delta Compare [Ticks ~ LTF data]
The "Volume Delta Compare " publication shows 2 different techniques to show into-depth details of Volume, using Tick and Lower-Time-Frame (LTF) data.
🔶 USAGE
Check for divergences between price and volume movement
Check details (why and when a ΔV developed)
Or if you want to see a lot of data stacked on each other )
🔶 CONCEPTS
🔹 Tick vs. LTF data
a Tick is an measure of (upward or downward) movement in price OR volume.
We can use this data by using varip in the code.
Advantage:
• Detail, detail, detail
• Accurate, per tick
Disadvantage:
• Only realtime
• Can reset 'easily' -> loss of data
• Will reset when settings are changed
LTF data, through the request.security_lower_tf() function, measures the OHLCV data per LTF bar
Advantage:
• Access to history when loading a chart
• No 'loss' of data when chart resets
Disadvantage:
• Less detailed
• Less accurate
This script makes it possible to compare the 2 techniques and enables you to show different values.
🔹 Values
There are mainly 3 important values:
• UP volume (uV): volume when price rises
• DOWN volume (dV): volume when price falls
• NEUTRAL volume (nV): volume when price stays the same
From this, additional data is calculated:
• Volume Delta (ΔV): uV minus dV
• Cumulative Delta Volume (cΔV): sum of ΔV
One typical nV is at open: at that moment there isn't a base price to compare with,
so when the first trade doesn't fully fill the first supply (up or down), volume will rise, but price just is 'open', no movement -> no uV or dV.
• Tick data: every volume changement per tick will be added to the concerning variable (uV, dV or nV)
• LTF data: every volume changement of each bar will be added to the concerning variable (uV, dV or nV)
-> this can easily give a difference, for example (Tick vs. 1 minute LTF), when most of the ticks caused a rise of price, but at the last few seconds, a few ticks causes the close to come below open, with Tick data this could give more UP Volume, while LTF data will show 1 value of DOWN Volume.
🔶 EXAMPLES
🔹 Details
In these examples you can see:
• grey line: Total volume (higher precision)
• UP/DOWN/NEUTRAL Volume
• green columns: uV
• orange columns: dV
• blue pillars: nV
• coloured stepline: reflects ΔV
• close > open and positive ΔV -> green
• close > open but negative ΔV -> fuchsia
• close < open and negative ΔV -> orange
• close < open but positive ΔV -> bright lime green
• Right side -> indication of used data (Tick/LTF data) + last ΔV
• labels (can be disabled)
Above 0 (only with Tick data): data from EVERY tick (ΔV ):
• first the amount of Volume (0 when the amount is very minimal)
• between brackets: price movement
Below 0:
• Σ V: sum of uV, dV and nV, for that bar
• Σ up: sum of uV for that bar
• Σ dn: sum of dV for that bar
• Σ nt: sum of nV for that bar
• Σ P: sum of price movement, for that bar (only at Tick data)
(At the right you'll see a new bar just started)
Here is a detail of the first second at opening:
🔹 Cumulative Volume Delta (CVD)
Difference CVD based on Tick vs. LTF data :
(horizontal lines added for reference)
🔶 FEATURES
🔹 Minimal plotting of na values
Data window and status line only show what is applicable (tick or LTF data) to diminish clutter of data values:
The Tick option has a label above 0 which includes details of every Tick.
If data is added every tick, that label on a 10 minute chart will be filled beyond limitations pretty quickly (string max_length = 4096 limit).
To prevent the script stopping to execute, at a certain limit, this label will stop updating and show the message "Too much data".
The label below the 0-line won't reach that limit, so it will keep on updating.
Timeframes closer to 1 second will have less risk to reach that 4096 limit. Details will remain to show in this case.
🔹 Automatic label colour adaption when changing between dark/light mode values
Label background/text-colour will adapt according to the dark/light-mode by using chart.fg_color / chart.bg_color
🔶 SETTINGS
🔹 Data from: Ticks vs. LTF data
🔹 LTF: Lower Time-Frame for when LTF option is chosen: 1, 5, 10, 15, 30 Seconds or 1 minute
🔹 Also start when bar already has data: only for tick data -> when disabled calculations only start on a new bar.
🔹 CVD, Only show Cumulative Delta Volume: enable to just display CVD
🔹 Colours: colour at the right is for price/volume direction divergences
🔹 Label: choose what you want to display + size labels
🔹 0-line: The label under the 0-line sometimes goes below the chart. this can be adjusted with this setting.
Volume Delta Methods (Chart) [LuxAlgo]The Volume Delta Methods (Chart) aims at highlighting the relationship between Buying or Selling Pressure and Price by presenting Volume Delta , and multiple derivatives of volume delta such as Cumulative Volume Delta (CVD) , Buy/Sell Volume , Total Volume , etc on top of the Main Price Chart .
The script uses two different intrabar (chart bars at a lower timeframe than the chart's) analyses to achieve the most approximate calculation of the volume delta and offers fully customizable visualization features using various types of charts such as line, area, baseline, candles, and histograms.
The script allows traders to see "within" the price bar, provides more transparency over a traditional volume histogram, and also allows users to monitor price and volume activity together.
🔶 USAGE
Volume delta is the difference between the buying volume and the selling volume, in other words, it is the net demand at a given bar allowing traders a more detailed insight when analyzing the market sentiment. A volume delta greater than 0 indicates more buying than selling pressure, whereas a volume delta less than 0 indicates more selling than buying pressure.
Volume delta plus total volume (regular volume) adds additional insight, where the total volume represents all the recorded trades for security that occurs in a given time interval. It is a measurement of the participation, enthusiasm, and interest in a given security.
Divergences occur when the polarity of the volume delta does not match the polarity of the price bar.
The users can enable the display of the numerical values of the volume delta.
Cumulative Volume Delta (CVD) is a way of using Volume Delta to measure an asset’s mid-to-long-term buy and sell pressure. It compares buying and selling volume over time and offers insights into market behavior at specific price points. Cumulative Volume Delta is effectively a continuation of the principles of Volume Delta but involves longer time periods and offers different trading signals.
Like the Volume Delta, the Cumulative Volume Delta (CVD) indicator measures the relationship between buy and sell pressure but does not focus on one specific candle in particular. Rather, the Cumulative Volume Delta takes the relative differences and combines them all over an extended time period.
Users have the ability Cumulative Volume Delta in various types of charts along with an optional smoothing line.
Placed above price bars options.
Interacting with price bar options helps to better identify CVD Divergences.
CVD Divergences
CVD reveals buying and selling trends that may or may not complement the price trend of the asset itself. Sometimes, price trends can run in contrast to trading behavior — sell volume can be dominant while the spot price is rising, and vice versa.
🔶 DETAILS
Theoretically, volume delta is calculated by taking the difference between the volume that traded at the ask price and the volume that traded at the bid price. The most precise calculation method uses tick data but requires huge amounts of data on historical bars, which usually limits the historical depth of charts. This indicator uses two different intrabar analysis methods for the volume delta calculation, where intrabars are chart bars at a lower timeframe than the chart's timeframe:
The logic used to assign intrabar volume to the "up" or "down".
- Buying/Selling pressure of the intrabar option (default)
(close - low) > (high - close) => UP
(close - low) < (high - close) => DOWN
(close - low) = (high - close) => close - previous close is used
- Polarity of the intrabar option
close > open => UP
close < open => DOWN
close = open => close - previous close is used
🔶 SETTINGS
The script takes into account user-defined parameters and performs calculations and presentations based on them, where detailed usage for each user-defined input parameter in indicator settings is provided with the related input's tooltip.
🔹 Calculation Settings
Calculation Method: Calculation method selection, available options 'Intrabar Buying/Selling Pressure' or 'Intrabar Polarity'.
Lower Timeframe Precision: Sets indicator precision, default option is 'Auto'.
🔹 Presentation Settings
Volume Delta: Toggles the visibility of the Volume Delta
Cumulative Volume Delta: Toggles the visibility of the Cumulative Volume Delta
Volume Delta/Price Bar Divergences: Toggles the visibility of the Volume Delta Divergences
Volume Delta Numerical Values: Toggles the visibility of the Volume Delta Numerical Values
🔹 Other Features
Volume MA: Toggles the visibility of the Volume Moving Average
CVD Smoothing: Toggles the visibility of the Cumulative Volume Delta's Smoothing Line
🔹 Volume Delta, Others
Volume Delta: Positive, Negative: Volume Delta color customization options
Volume Histogram: Growing, Falling: Volume Histogram color customization options
Display Length: Length of the visual objects presented with this indicator
Volume Delta Height: Volume delta height customization options
Volume Histogram Height: Volume histogram height customization options
Vertical Offset: Volume delta and histogram vertical positioning customization options
🔹 Cumulative Volume Delta, Others
CVD Line, Width, and Color: Cumulative Volume Delta - Line Width and Color customization options
CVD Area/Baseline, Gradient Coloring: Cumulative Volume Delta - Area and Baseline background gradient coloring customization options
CVD Candles Color, Positive, and Negative: Cumulative Volume Delta - Candles coloring customization options
CVD/Smoothing Background: Highlights and adjusts the transparency of the area between the Cumulative Volume Delta Line and it's Smoothing Line
🔶 RELATED SCRIPTS
Liquidity-Sentiment-Profile
EquiVolume
Volume-Footprint
Volume Price and FundamentalsVolume Price and Fundamentals indicators contains 4 exponential moving averages based upon Fibonnaci numbers as period (8, 21, 55 & 144) with crossovers and crossunders.
It also contain a table for volume and 50 Day Avg. Volume, Relative volume, Change in Volume, Volume Value, Up-Down Closing Basis days in last 50 days, Volume ratio (U/D Ratio) on last 50-day Up / Down days and along with fundamental analysis table with various Fundamental Analysis parameters and QoQ & YoY comparison basis for better investment decision making.
Volume Heat ZoneVolume Zones Indicator
This Pine Script creates a volume-based zone analysis tool for TradingView.
Function:
Divides the price range (high to low) into 20 levels over a 100-candle lookback period
Measures volume activity at each price level
Draws boxes at levels with above-average volume (1.5x threshold)
Key Settings:
Lookback Period (100): Number of candles analyzed
Price Levels (20): Price range subdivisions
Volume Threshold (1.5): Minimum volume multiplier for zones
Candle Offset (1): Excludes current candle from analysis
Projection Bars (10): Extends boxes 10 bars into the future
How it works:
The indicator identifies price levels where significant trading volume occurred historically, highlighting potential support/resistance zones. Boxes are redrawn on each confirmed candle, showing dynamic volume concentration areas that traders can use for entry/exit decisions.
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines — ZVOL ( volume anomaly detection ) and OBVX ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes optical tensegrity to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame.
🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets, Volumetric Tensegrity captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes.
🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate.
🧠 Core Logic - VTense separates and preserves two essential structural forces:
• ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior.
• OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off.
🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint.
🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points before price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation.
🪖 From Generals to Scouts
👀 When used jointly, ZVOL + OBVX act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a scout — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate.
🥂 Use the ZVOL + OBVX pair when :
• You need independent axis control and manual dissection
• You’re building long-form confluence setups
• You have more indicator slots than you need
🔎 Use VTense when :
• You need compact clarity across multiple instruments
• You’re prioritizing confluence _detection_ over granular separation
• You’re building efficient multi-layered systems under slot constraints
🏗️ Structural Behavior and Interpretation
🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline
🔵 Compression Coil – volume volatility is low and stable; the market is coiling
🟢 Steady Rhythm – volume is healthy but unremarkable; balanced participation
🟡 Passive/Absorbed Effort – expansion failing to manifest; watch for reversal
🟠 Clean Expansion – actionable volatility rise backed by structure
🔴 Volatile Blowout – chaos, climax; likely end-phase or fakeout
⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field.
🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves
🔑 The curvature of the spread reveals not just directional bias but crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision.
• Green Rising : Accumulation — upward pressure from real buyers
• Red Falling : Distribution — sell pressure, downward slope
• Flat Curves : Transitional → uncertainty, microstructure digestion
🎭 Synchronized vs Divergent Behavior
⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves.
• ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure
• ZVOL expands while OBVX steepens red = growing sell-side intent
🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps.
• ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment
⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release.
• ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy
• After prolonged drift, expect violent asymmetry when balance finally breaks
📚 Phase Interpretation: Dynamic Structural Read
• 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency
• 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension
• 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment
• 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal
💡 Suggested Use
• Run on 15m charts for breakout anticipation and 1H for validation
• Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase
• Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.)
• Ideal during low-volume regimes to detect pressure buildup before triggers
🧏🏻 Volumetric Tensegrity doesn’t signal. It breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction.
Volume Profile & Smart Money Explorer🔍 Volume Profile & Smart Money Explorer: Decode Institutional Footprints
Master the art of institutional trading with this sophisticated volume analysis tool. Track smart money movements, identify peak liquidity windows, and align your trades with major market participants.
🌟 Key Features:
📊 Triple-Layer Volume Analysis
• Total Volume Patterns
• Directional Volume Split (Up/Down)
• Institutional Flow Detection
• Real-time Smart Money Tracking
• Historical Pattern Recognition
⚡ Smart Money Detection
• Institutional Trade Identification
• Large Block Order Tracking
• Smart Money Concentration Periods
• Whale Activity Alerts
• Volume Threshold Analysis
📈 Advanced Profiling
• Hourly Volume Distribution
• Directional Bias Analysis
• Liquidity Heat Maps
• Volume Pattern Recognition
• Custom Threshold Settings
🎯 Strategic Applications:
Institutional Trading:
• Track Big Player Movements
• Identify Accumulation/Distribution
• Follow Smart Money Flow
• Detect Institutional Trading Windows
• Monitor Block Orders
Risk Management:
• Identify High Liquidity Windows
• Avoid Thin Market Periods
• Optimize Position Sizing
• Track Market Participation
• Monitor Volume Quality
Market Analysis:
• Volume Pattern Recognition
• Smart Money Flow Analysis
• Liquidity Window Identification
• Institutional Activity Cycles
• Market Depth Analysis
💡 Perfect For:
• Professional Traders
• Volume Profile Traders
• Institutional Traders
• Risk Managers
• Algorithmic Traders
• Smart Money Followers
• Day Traders
• Swing Traders
📊 Key Metrics:
• Normalized Volume Profiles
• Institutional Thresholds
• Directional Volume Split
• Smart Money Concentration
• Historical Patterns
• Real-time Analysis
⚡ Trading Edge:
• Trade with Institution Flow
• Identify Optimal Entry Points
• Recognize Distribution Patterns
• Follow Smart Money Positioning
• Avoid Thin Markets
• Capitalize on Peak Liquidity
🎓 Educational Value:
• Understand Market Structure
• Learn Volume Analysis
• Master Institutional Patterns
• Develop Market Intuition
• Track Smart Money Flow
🛠️ Customization:
• Adjustable Time Windows
• Flexible Volume Thresholds
• Multiple Timeframe Analysis
• Custom Alert Settings
• Visual Preference Options
Whether you're tracking institutional flows in crypto markets or following smart money in traditional markets, the Volume Profile & Smart Money Explorer provides the deep insights needed to trade alongside the biggest players.
Transform your trading from retail guesswork to institutional precision. Know exactly when and where smart money moves, and position yourself ahead of major market shifts.
#VolumeProfile #SmartMoney #InstitutionalTrading #MarketAnalysis #TradingView #VolumeAnalysis #CryptoTrading #ForexTrading #TechnicalAnalysis #Trading #PriceAction #MarketStructure #OrderFlow #Liquidity #RiskManagement #TradingStrategy #DayTrading #SwingTrading #AlgoTrading #QuantitativeTrading
Volume with EMA and Coloring RulesSummary
This indicator plots the market’s volume as a histogram in a separate panel (not overlaid on the main price chart). An EMA (Exponential Moving Average) is then calculated based on the volume. The color of each volume bar switches dynamically:
• Blue when the bar’s volume is higher than the EMA
• White when the bar’s volume is lower than or equal to the EMA
This simple visual cue allows you to quickly see if the market’s current volume is above or below its average trend.
How to Use
1. Add to Chart
Apply the indicator to your TradingView chart, and it will open in a separate panel beneath the price.
2. Adjust EMA Length
Modify the “EMA Length” to control how quickly the average volume adapts to changes.
3. Interpretation
• Blue bars may indicate stronger-than-usual participation.
• White bars indicate volume is relatively lower compared to its recent average.
This indicator provides an at-a-glance way to see if trading activity is intensifying or easing, which can be paired with other technical or fundamental tools to help confirm market shifts or potential opportunities.
Volume Delta Filtered Overlay v1.1 by RamtraderbookVolume Delta Filtered Overlay v1.1 by Ramtraderbook
This indicator visually displays the volume delta directly on the price chart using colored circles. Its main goal is to highlight significant changes in the volume delta, categorizing them by direction and magnitude.
How It Works
1. Volume Delta Calculation
- Measures the difference between buying and selling volume on a lower time frame.
2. Threshold Filter
- Only displays data if the delta exceeds a minimum threshold set by the user.
3. Colors by Direction
- Bullish color: If the delta is positive (more buying).
- Bearish color: If the delta is negative (more selling).
4. Circle Placement
- Circles are placed above the candle for a positive delta and below the candle for a negative delta.
Customizable Inputs
- Delta Threshold: Defines the minimum delta value that will be plotted.
- Customizable Colors: Allows you to set different colors for positive and negative delta circles.
- **Lower Time Frame**: Scans data on a lower time frame for greater accuracy.
Important Note on Data
TradingView does not handle market depth data such as order book information. The volume delta calculation is an approximation based on the asset’s volume and price behavior. This means it does not precisely reflect the actual flow of buy or sell orders in the market, but rather an estimate derived from available data.
Conclusion
The **Volume Delta Filtered Overlay v1.1 by Ramtraderbook** is a visual tool that helps quickly identify significant buy or sell volume movements, making it ideal for strategies that rely on order flow analysis. However, it is recommended to combine it with other tools for a more comprehensive analysis.
